Fourier multispectral imaging

Date of Award

2017

Degree Name

Ph.D. in Electrical and Computer Engineering

Department

Department of Electrical and Computer Engineering

Advisor/Chair

Advisor: Keigo Hirakawa

Abstract

There are many limitations to existing multispectral imaging modalities, such as speed, cost, range, spatial resolution, and application-specific system designs that lade generality. In this dissertation thesis, we propose a novel general-purpose multispectral imaging (MSI) modality. Central to this MSI design is a new type of spectral filters based not on the notion of narrowband filters, but instead using Fourier transform spectroscopy. Firstly, we verified the performance of our MSI system by simulation. Then, two initial prototypes based on this new idea are built and tested with real data capture. The results show that spectral features such as transmission and absorption peaks are preserved with this technique, proving that it is a more versatile technique compared to the narrowband filters for a wide range of multispectral imaging applications. We demonstrated single-shot multispectral imaging capability with a spectral filter array (SFA) pattern prototype designed to minimize the risk of spatial aliasing.

Keywords

Fourier transform spectroscopy, Multispectral imaging, Electrical Engineering, Multispectral Imaging, Single-shot, Fourier spectral filter, Fourier SFA

Rights Statement

Copyright © 2017, author

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